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Subhendu Kumar Pani

Subhendu Kumar PaniSubhendu Kumar Pani received his Ph.D. from Utkal University Odisha, India. He has more than 16 years of teaching and research experience. His research interests include data mining, big data analysis, web data analytics, fuzzy decision making and coputational intelligence. He is a fellow in SSARSC and life member in IE, ISTE, ISCA, OBA.OMS, SMIACSIT, SMUACEE, CSI. Read More Read Less

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1.
Mining Biomedical Text, Images and Visual Features for Information Retrieval45 %
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2.
Blockchain and AI Technology in the Industrial Internet of Things37 % NR
Publisher: IGI Global
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₹22,625
₹14,254
Binding:
Hardback
Release:
08 Jan 2021
Language:
English
International Edition
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3.
Deep Learning, Machine Learning and IoT in Biomedical and Health InformaticsNR
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4.
Blockchain and AI Technology in the Industrial Internet of Things37 % NR
Publisher: IGI Global
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₹17,195
₹10,833
Binding:
Paperback
Release:
08 Jan 2021
Language:
English
International Edition
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5.
Wireless Sensor Networks and the Internet of Things30 %
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6.
Deep Learning, Machine Learning and IoT in Biomedical and Health InformaticsNR
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7.
Applications of Machine Learning in Big-Data Analytics and Cloud Computing38 %
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8.
Artificial Intelligence for Future Intelligent Transportation31 %
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9.
AI, Edge and IoT-based Smart Agriculture45 %
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₹18,700
₹10,285
Binding:
Paperback
Release:
12 Nov 2021
Language:
English
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10.
Economic Sustainability Potentiated by Artificial Intelligence37 %
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11.
The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity31 %
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12.
Internet of Things and Machine Learning for Type I and Type II Diabetes45 %
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13.
Advancements in Artificial Intelligence, Blockchain Technology, and IoT in Higher Education41 %
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14.
Artificial Intelligence for Neurological Disorders45 %
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₹18,700
₹10,285
Binding:
Paperback
Release:
22 Sep 2022
Language:
English
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16.
Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing37 %
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17.
Wireless Sensor Networks and the Internet of Things48 %
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19.
Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing37 %
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20.
Applications of Machine Learning in Big-Data Analytics and Cloud Computing30 %
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